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Priory Street
Coventry CV1 5FB
United Kingdom
Tel: +44 (0)24 7765 7688
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This project focuses on policy makers in the UK, specifically those civil servants who provide short and long term policy advice, either in response to specific crisis incidents or in the context of longer term planning for capacity building.
The overall aim of this JIP accordingly is to avoid or minimise the occurrence of motion sickness in automated vehicles. The project aims at realising this by explicating the underlying causes of motion sickness in automated vehicles, adopt reliable, sensitive, and valid methods to assess its occurrence, and sketch ways it can be mitigated by adapted (automated) vehicle design and/or other countermeasures.
This project examines the systemic risks introduced by AI-generated synthetic data in autonomous vehicle (AV) development.
ITEAM is aimed at establishing and sustainably maintaining the European training network by training strong specialists to research and develop cutting-edge technologies in the field of multi-actuated ground vehicles (MAGV).
This research is aimed at assuring cybersecurity and safety of complex CPS/IoT systems, which arise from convergence of Cyber Physical Systems (CPS) and Internet of Things (IoT).
Coventry University is supporting Project Certus using simulation expertise to speed up the development of self-driving vehicles.
METRIC maps regional transport innovation capacity and identifies the competitive advantage of regions.
r_lightBioCom’s ultimate aim is to enable the design and production of sustainable composite structures. Ultimately, this will lead to more efficient systems such as lighter and more durable planes and cars which can be re-used or recycled.
In the UK, in 2022, 376 pedestrians were killed and 19318 were injured, highlighting the important societal impact and a notable economical loss of £2.2M per death and £261,498 for each seriously injured victim.
InnEx will develop a highly innovative lightweight exhaust system for forced induction diesel and petrol automotive vehicles.
Biomechanical software has been developed at Coventry University which has the capability of analysing musculoskeletal systems.
Investigating the feasibility of building a connected autonomous vehicles (CAV) simulation platform that enables plugging in external heterogeneous components.
This project aims to develop an accessible platform for the flight deck which supports new technologies, new applications such as crew decision aids harnessing big data, and 21st century HMI such as touch, voice and haptics.
Connected and Autonomous Vehicles (CAV) are expected to bring huge benefits to society. The Trusted Intelligent CAV (TIC-IT) facility will be critical to this, providing a realistic, controlled high speed, limit-handling and fully connected environment.
This research investigates the cyber security, human factors and trust aspects of screen failures during automated driving.
Our PACE-AI method is only using vehicle shape and pedestrian anthropometry. It can extract, in seconds, not only the vehicle impact speed (which takes the Police days), but also the pedestrian crossing speed, gait and crossing direction (impossible using Searle).
The goal of SIMUSAFE following the FESTA-V model methodology is to develop realistic multi-agent behavioural models in a transit environment where researchers will be able to monitor and introduce changes in every aspect, gathering data not available in real world conditions.
IFTC’s role in MFM supports future CAV testbed trials by developing guidance and case studies to assist users with test definition and planning.
The objective of the REACTOR project is to develop and evaluate a suite of technologies in support of reduced cockpit workload and improved situational awareness.
This project is focused on the design of reliable yet efficient thermal models underpinning an optimal design framework for power electronic converters. Due to the high number of times these models must be evaluated during the optimisation process, they are required to be of low computational cost (so-called ‘optimisable’).
Priory Street
Coventry CV1 5FB
United Kingdom
Tel: +44 (0)24 7765 7688
